Job Description

Contract Role for 12 Month Working Location: Buona Vista Working Hours: 8 am - 5.00 pm Summary: Where you fit in Shell\xe2\x80\x99s global Trading and Supply business is one of the largest energy trading operations in the world with key hubs in Singapore, Dubai, Houston, London, and Rotterdam, trading in crude oil, natural gas, LNG, electrical power etc. Our business in Asia has set huge growth targets for the coming years with major focus on green and sustainable energy. To accommodate this demand, we are looking for talented and enthusiastic Data Scientist based in Singapore to support existing and new projects in the Asia space. What\xe2\x80\x99s the role? We are looking for Data Scientists to help expand the trading desk\xe2\x80\x99s quantitative ability by providing development support and best practices to market analysts. The data scientist will work in a high paced environment in tandem with the product team to build scalable models and support front office traders with their analysis and modelling needs. They will apply different ML (Machine Learning) techniques such as deep learning, reinforcement learning, predictive modelling and building forecasting models to equip the Shell trading desks with right strategies to best position them in the market. Requirement:

• Certification or degree in data science
• 2-3 years of experience in a Data Scientist role
• Expertise in statistical software packages, modelling techniques/ software, including Python
• Proficiency and hands-on experience in machine learning, including data mining, statistical analysis, pattern recognition and predictive modelling
• Proven ability / track record in translating the data models to long lasting business value and outcome
• Able to credibly interface between technical teams and business stakeholders.
• Analytical problem solver
• Excited about analytical models and algorithms
• Able to multi-task

Preferred:

• Experience in trading preferred
• Experience in time series modeling and forecasting/ prediction with regression model preferred
• PhD or Master\'s in Statistics, Applied Math or Computer Science or equivalent
• Tech stack experience: Databricks, GIT, Microsoft Azure Data Lake, Azure Table/Blob stores, SQL
• Can explain software engineering best practice e.g., CI/CD, 12-factor, git branching strategies, test automation
• Experience in time series analysis / predictive modelling with low granularity time series data, preferably in a trading domain (Commodity/Security)
• Story telling of Machine Learning models to business problems
• Agile Delivery techniques (e.g., SCRUM), user stories, tools such as Azure DevOps

Job Type: Contract
Contract length: 12 months Pay: $8,000.00 - $9,800.00 per month Schedule:

• Monday to Friday

Supplemental pay types:

• 13th month salary

Education:

• Bachelor\'s or equivalent (Preferred)

License/Certification:

• Authorization to work in Singapore without sponsorship (Required)